Potential Candidate Genes Associated with Litter Size in Goats: A Review

Animals, Journal Year: 2025, Volume and Issue: 15(1), P. 82 - 82

Published: Jan. 2, 2025

This review examines genetic markers associated with litter size in goats, a key reproductive trait impacting productivity small ruminant farming. Goats play vital socioeconomic role both low- and high-income regions; however, their remains limited due to low efficiency. Litter size, influenced by multiple genes environmental factors, directly affects farm profitability sustainability increasing the output per breeding cycle. Recent advancements research have identified pathways traits, including gonadotropin-releasing hormone (GnRH), inhibin (INHAA), Kit ligand (KITLG), protein phosphatase 3 catalytic subunit alpha (PPP3CA), prolactin receptor (PRLR), POU domain class 1 transcription factor (POU1F1), anti-Müllerian (AMH), bone morphogenetic proteins (BMP), growth differentiation 9 (GDF9), KISS1 suppressor of mothers against decapentaplegic (SMAD) family genes, among others. These regulate crucial physiological processes such as folliculogenesis, synthesis, ovulation. Genome-wide association studies (GWASs) transcriptomic analyses pinpointed specific linked increased highlighting potential selective programs. By incorporating genomic data, strategies can achieve higher selection accuracy, accelerate gains, improve emphasizes importance optimizing promoting sustainable goat

Language: Английский

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Polymorphism Analysis of GDF9 and BMP15 Genes and Their Association With Litter Size in Crossbreed Goats in Malaysia

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 20, 2025

The goat industry plays a crucial role in Malaysia's economy, with breeds such as Katjang and Boer being the integral to mutton supply. However, achieving self-sufficiency meat production is still challenging due insufficient local carcass To address this issue, crossbreeding program has been initiated improve reproductive performance breeds. In mammals, there are BMP15 GDF9 genes which components of TGF-β superfamily that key regulators ovulation litter size. This study aimed crossbred goats from populations Sabah, Malaysia, by analyzing genetic variations genes. A total sixty female cross-Katjang goats, recorded size parities were sampled. Five milliliters blood taken jugular vein using K2-EDTA tubes. Genetic analysis was performed conventional PCR at Biotechnology Research Institute, University Malaysia followed sequencing Apical Scientific, Malaysia. Four novel polymorphic loci identified within gene: G320C, A352G, G366T, G375T. All these resulted missense mutations, causing change amino acid sequences. Notably, A352G G375T showed significant associations size, AG genotype position 352 GG 375 emerging potential markers for selective breeding. information content (PIC)values indicated low diversity (< 0.25) loci. Interestingly, no polymorphisms detected gene, suggesting monomorphic state (wild-type genotype) Cross-Katjang population. finding indicates may not play variation crossbreed, shifting focus towards more relevant marker enhancing traits. provides important insights into factors influencing traits applications marker-assisted selection productivity performance.

Language: Английский

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Genomic Landscape and Prediction of Udder Traits in Saanen Dairy Goats

Animals, Journal Year: 2025, Volume and Issue: 15(2), P. 261 - 261

Published: Jan. 17, 2025

Goats are essential to the dairy industry in Shaanxi, China, with udder traits playing a critical role determining milk production and economic value for breeding programs. However, direct measurement of these goats is challenging resource-intensive. This study leveraged genotyping imputation explore genetic parameters architecture assess efficiency genomic prediction methods. Using data from 635 Saanen goats, genotyped over 14,717,075 SNP markers phenotyped three traits, heritability was 0.16 width, 0.32 depth, 0.13 teat spacing, correlations 0.79, 0.70, 0.45 observed among traits. Genome-wide association studies (GWAS) revealed four candidate genes selection signatures linked Predictive models, including GBLUP, kernel ridge regression (KRR), Adaboost.RT, were evaluated estimated (GEBV) prediction. Machine learning models (KRR Adaboost.RT) outperformed GBLUP by 20% 11% predictive accuracy, showing superior stability reliability. These results underscore potential machine approaches enhance accuracy providing valuable insights that could contribute improvements animal health, productivity, outcomes within goat industry.

Language: Английский

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Leveraging Whole-Genome Resequencing to Uncover Genetic Diversity and Promote Conservation Strategies for Ruminants in Asia

Animals, Journal Year: 2025, Volume and Issue: 15(6), P. 831 - 831

Published: March 13, 2025

Whole-genome resequencing (WGRS) is a critical branch of whole-genome sequencing (WGS), primarily targeting species with existing reference genomes. By aligning data to the genome, WGRS enables precise detection genetic variations in individuals or populations. As core technology genomic research, WGS holds profound significance ruminant studies. It not only reveals intricate structure genomes but also provides essential for deciphering gene function, variation patterns, and evolutionary processes, thereby advancing exploration mechanisms. However, still faces several challenges, such as incomplete inaccurate genome assembly, well annotation numerous unknown genes functions. Although can identify vast number variations, specific relationships between these phenotypes often remain unclear, which limits its potential functional studies breeding applications. performing on multiple samples, assembly challenges be effectively addressed, particularly regions high repeat content complex structural variations. accurately subtle among different populations further elucidate their associations traits, overcoming limitations providing more information research This review systematically summarizes latest applications analysis structures, diversity, economic adaptive while discussing faced by this technology. aims provide scientific foundation improvement conservation resources.

Language: Английский

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Polymorphism analysis of GDF9 and BMP15 genes and their association with litter size in crossbreed goats in Malaysia

Tropical Animal Health and Production, Journal Year: 2025, Volume and Issue: 57(4)

Published: April 29, 2025

Language: Английский

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Potential SNPs and candidate genes influencing growth characteristics in Pakistani Beetal goat identified by GWAS analysis

The Journal of Basic and Applied Zoology, Journal Year: 2025, Volume and Issue: 86(1)

Published: March 6, 2025

Abstract Background A higher body weight at a younger age is an economically important trait for profitable goat farming. This study focussed on the identification of regions genome that harbour genetic variants associated with using Illumina GoatSNP50K Bead Chip. total 631 purebred Beetal goats (151 males and 480 females) were recorded weight, measurement then genotyped. Genome-wide association analysis was carried out GEMMA. Results After application quality control filters Plink 1.9 i.e. call rate less than or equal to 0.9, minor allele frequency < 0.05 HWE P value 0.001, 594 animals 45,744 SNPs used carry analyses association. The covariates age, sex, morphometric measurements contemporary group returned 10 significant ( = − log10e-4 log10e-6). Three present within genes BTAF1 (snp1131-scaffold1029-1983670 chromosome 26), NTM (snp53070-scaffold799-1,702,189 29) GRID1 (snp3363-scaffold1102-797993 28) when blasted against ARS1(accession GCA_001704415.1). Moreover, some localized close CEP78 (snp44634-scaffold606-4621460 8), ROBO1 (snp11793-scaffold1437-557,127 1), ZFP36L2 (snp9758-scaffold135-2,388,277 11), SPTLC3 (snp25720-scaffold265-581,526 13), CTR9 (snp31951-scaffold358-554,703 15) ZFHX3 (snp9581-scaffold1344-19,492 18) genes. Conclusions identified potential role in growth which may be useful generation customized chip future.

Language: Английский

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Genomic regions underlying variation in wattles, horns and supernumerary teats phenotypes in Egyptian goats

Canadian Journal of Animal Science, Journal Year: 2024, Volume and Issue: unknown

Published: July 4, 2024

Goats play a crucial role in providing humans with various types of valuable products including milk and meat. The underlying genetic mechanisms important morphological aspects remain largely unknown goats, highlighting the need for further investigation. A genome-wide association analysis (GWAS) was conducted three phenotypes Egyptian goats. All animals were genotyped using Illumina 65 K SNP BeadChips. Results GWAS wattles identified two significant ( P ≤ 1.4 × 10 –6 , false discovery rate (FDR) 0.05) single nucleotide polymorphisms (SNPs) on chromosome within region (72–74 Mb) containing FMN1 GREM1 genes that are limb development growth. For horns, SNPs 1 (119–131 harbouring candidate embryonic tissue differentiation, such as CEP70, DZIP1L, CLDN18, SOX14, SLC35G2. supernumerary teats, four located chromosomes 25 (8.7 Mb), 9 (47.8 17 (45.1 28 (6.7 identified, involved morphogenesis reproductive traits EMP2, MDN1, PCDH10, GHITM. This study novel alongside previously reported ones other goat breeds, suggesting their potential studied

Language: Английский

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Genome‐Wide Association Study for Test‐Day Milk Yield, Proteins, and Composition Traits of Crossbred Dairy Cattle in Ethiopia

International Journal of Genomics, Journal Year: 2024, Volume and Issue: 2024(1)

Published: Jan. 1, 2024

Identifying genetic regions and candidate genes that influence milk production traits is critical for understanding inheritance improving both the quality quantity of in dairy cattle. Crossbred cattle significantly contribute to increasing ensuring food security middle‐ high‐altitude Ethiopia. However, architecture underlying their yield composition has not yet been thoroughly investigated. This study conducted a genome‐wide association (GWAS) on 308 crossbred cows from central, northeastern, southern Ethiopia identify markers associated with key traits. Using high‐density SNP chip data fixed random model circulating probability unification (Farm CPU) method via Memory‐efficient, Visualization‐enhanced, Parallel‐accelerated R package (rMVP) (Version 1.0.7.), we analyzed including test‐day (TDMY), total protein (TP), casein (CN), whey (W), percentage (P), fat (F), lactose (L), solids (TS), density (D), solids‐not‐fat (SNF), salt (S), freezing point (FP). identified 16 significant SNPs these traits, rs41661899 Chromosome 6, which was TP W, rs42274954 12, CN. Eight SNPs, such as rs43560693, rs109098713, rs111029661, rs134499665, rs133908307, rs133627532, rs42098411, rs110066280, were found across multiple chromosomes (8, 10, 14, 15, 19, 21, 26, 28, respectively) P. Additionally, rs110844447 rs135995768 Chromosomes 6 14 D FP, respectively. Three rs109564259, rs135552551, rs41620904 11, 24, associations S. Candidate near within include TRAM1L1, DIAPH3, PEBP4, WDR89, BCAS3, RALGAPA1, HABP2, NRG3, HPSE, PCDH7, LINC02579, TRNAS‐GGA, OR5CN1P. These findings enhance our milk‐related Ethiopian highlight potential marker‐assisted selection improve breeding programs.

Language: Английский

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Genetic characterization and selection of litter size traits of Guizhou Black goat and Meigu goat

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(11), P. e0313297 - e0313297

Published: Nov. 7, 2024

The aim of this study is to explore the genetic characteristics Guizhou Black goats and Meigu their relationship reproductive performance through population structure analysis, diversity assessment, selection signal analysis. Blood samples 19 11 were collected for whole-genome high-throughput sequencing. Using PCA ADMIXTURE analyses, relationships revealed. Further analysis showed that although there significant differentiation, levels are similar. Subsequently, these categorized into high-yield low-yield groups based on litter sizes, with 15 in each group. Then, a was performed using FST π ratios 33,563 SNP loci. results identified six candidate genes, including KCNIP4, GFRA2, DGKH, which significantly associated high performance. These findings enhanced our understanding goats. Moreover, they provide an important theoretical foundation scientific basis further breeding improvements.

Language: Английский

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Genome-Wide Scan for Selective Sweeps Reveals Novel Loci Associated with Prolificacy in Iranian Sheep Breeds in Comparison with Highly Prolific Exotic Breed

Animals, Journal Year: 2024, Volume and Issue: 14(22), P. 3245 - 3245

Published: Nov. 12, 2024

Domestication and selection significantly changed phenotypic traits in modern domestic animals. To identify the genomic regions associated with prolificacy this study, 837 ewes from three Iranian indigenous sheep breeds, consisting of Baluchi, Lori-Bakhtiari, Zandi uniparous one Greek highly prolific dairy sheep, namely Chios, were genotyped using OvineSNP50K arrays. Statistical tests then performed different complementary methods based on either site frequency (F

Language: Английский

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